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import { AutoImageProcessor, DetrFeatureExtractor } from "../../../src/transformers.js";
import { load_cached_image } from "../../asset_cache.js";
import { MAX_PROCESSOR_LOAD_TIME, MAX_TEST_EXECUTION_TIME } from "../../init.js";
export default () => {
describe("DetrFeatureExtractor", () => {
const model_id = "Xenova/detr-resnet-50";
/** @type {DetrFeatureExtractor} */
let processor;
beforeAll(async () => {
processor = await AutoImageProcessor.from_pretrained(model_id);
}, MAX_PROCESSOR_LOAD_TIME);
it(
"default",
async () => {
const image = await load_cached_image("tiger");
const { pixel_values, original_sizes, reshaped_input_sizes, pixel_mask } = await processor(image);
expect(pixel_values.dims).toEqual([1, 3, 888, 1333]);
expect(pixel_values.mean().item()).toBeCloseTo(-0.27840224131001773, 6);
expect(original_sizes).toEqual([[408, 612]]);
expect(reshaped_input_sizes).toEqual([[888, 1333]]);
expect(pixel_mask.dims).toEqual([1, 64, 64]);
expect(pixel_mask.to("float32").mean().item()).toBeCloseTo(1.0, 6);
},
MAX_TEST_EXECUTION_TIME,
);
});
};
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